Foundations of Biostatistics (PHCM9795)
This core course introduces students to the quantitative methods that are the cornerstone of public health research and evidence-based public health policy and practice.
This core course introduces students to the quantitative methods that are the cornerstone of public health research and evidence-based public health policy and practice.
Students will be introduced to the basic statistical analysis methods, with hands-on experience analysing health data using statistical software. Assistance is available to students through tutorial activities and online help.
This course is a core course of the Master of Public Health, Master of Global Health and Master of Infectious Diseases Intelligence programs and associated dual degrees, comprising 6 units of credit towards the total required for completion of the study program. A value of 6 UOC requires a minimum of 150 hours work for the average student across the term.
External (Distance) and Internal (Face-to-Face) classes on campus
A/Prof Timothy Dobbins
Course Convenor
+61 (2) 9385 3379
t.dobbins@unsw.edu.au
Students are recommended to enrol in this course early in their program. The course is available to internal and external students and assistance will be available through tutorial activities and online help. If possible, students who are concerned about numeracy should consider enrolling in the course as an internal student.
This course aims to provide students with the core biostatistical skills to apply appropriate statistical techniques to analyse and present population health data.
On successful completion of this course, you will be able to:
The approach to learning and teaching in this course is based on adult learning principles. Students are expected to integrate prior knowledge with new concepts. A large component of the teaching strategy of this course is the application of the techniques taught in the course through self-directed learning activities and assessment tasks. These reflect the learning objectives of the course and are drawn from real studies. Students can self-assess their learning by reviewing the ideal answers to learning activities and assessments tasks.
The course is taught over the university term in 10 modules, with pre-course introductory videos available online. Each module comprises::
Assessment Task 1 – 4 Quizzes
Weighting: 20%
Assessment Task 2 – Assignment
Weighting: 40%
Assessment Task 3 – Assignment
Weighting: 40%
Learning resources for this course consist of the following:
1. Course pack
2. Recommended texts
3. Stata statistical software